Nutrient Patterns Research Articles

Influence of compost application rate on nutrient and heavy metal mobility: Implications for stormwater management.

Amending soils with compost has become increasingly common in stormwater management practices. Compost can be a source and sink for nutrients and heavy metals, and it is important to understand the effect of compost on pollutant leaching under different hydrologic conditions. The objectives of this study were (a) to quantify the distribution coefficient (Kd ) of PO4 -P and metals (Cd, Cr, Cu, Ni, Pb, Zn) for compost-soil blends and (b) to examine how compost rate alters leaching patterns of nutrients (NH4 -N, NO3 -N, PO4 -P) and metals from compost-soil blends. Material consisted of a sandy loam subsoil, a yard-waste compost, and compost-soil blends at 20 or 50% compost by volume. Materials were tested in sorption-desorption experiments using simulated stormwater (SW); columns with the materials were also leached with either SW or deionized (DI) water. As compost rate increased, the Kd decreased for PO4 -P and Cr but increased for Cd, Cu, Ni, and Zn. The addition of compost reduced the sorption of PO4 -P and Cr, potentially making it a source of these pollutants. Simulated stormwater did not increase the amount of pollutants retained compared with DI water for compost blends, except for 100% compost columns. Nitrate was the only constituent that had a negative removal efficiency, suggesting the compost was a source of NO3 -N. Column media retained >70% of the metals from the added stormwater solution. These results suggest that yard-waste compost blends at ≤50% have the potential to retain certain pollutants from infiltrating stormwater, but this effect may decline after several storm events.

Mineral nutrient analysis of three halophytic grasses under sodic and saline stress conditions

Present study was carried out to assess the effects of soil salinity/sodicity on mineral nutrient status of Urochondra setulosa, Leptochloa fusca and Sporobolus marginatus at ICAR- Central Soil Salinity Research Institute, Karnal, Haryana during 2016–19. Treatments of salinity/sodicity (pH ~ 9.5, pH ~ 10, ECe ~ 30 dS/m, ECe ~ 40 dS/m and ECe ~ 50 dS/m) were created in microplots (2.5 m × 1.5 m × 0.5 m) using saline/sodic water. Na+ and Cl– content (% DW) significantly increased with increasing sodicity/salinity stress condition in all three grass halophytes, whereas K+ content decreased. These grass halophytic species showed relatively less reduction in Ca, Mg and Fe contents up to sodic stress of pH ~ 9.5 and salinity level of ECe ~ 40 dS/m. Zn, Cu and Mn content decreased with increasing stress conditions but higher decrease was observed under sodic stress. The Na+/K+ and Na+/Ca2+ ratio was considered as indicators for measuring salt tolerance in plants. Na+/K+ ratio increased with increasing stress condition in all the three grasses but Leptachloa maintained their Na+/K+ near pH 1.0 under sodic stress condition and also maintained their Na+/Ca2+ below 1.0 up to pH ~ 9.5 and ECe ~ 40 dS/m. Higher sodic stress of pH~10.0 caused significant increase in Na+/Ca2+ in Urochondra and Sporobolus, whereas under highest salinity level, Leptachloa showed highest value for Na+/Ca2+. Changes in the accumulation patterns of nutrient in response to salinity is an important aspect and study showed highest positive correlation between Ca - Mg & Zn and negative between Na - Ca and K.

Nutrient patterns and non-alcoholic fatty liver disease in Iranian Adul: A case-control study.

BackgroundsThe current literature boasts the importance of diet in preventing or managing liver complications. However, there is limited evidence on the association of nutrient patterns (NP) with these complications. In this case-control study, we aimed to examine the possible relationship between nutrient patterns and the risk of non-alcoholic fatty liver disease (NAFLD) amongst the adult Iranian population.MethodsThis case-control study is being conducted at the Metabolic Liver Disease Research Center at Isfahan University of Medical Sciences in 2019. The study included 225 newly diagnosed cases of NAFLD and 450 controls. A validated semi-quantitative food frequency questionnaire (FFQ) assessed dietary intake. Principal component analysis using Varimax rotation obtained nutrient patterns. Logistic regression was performed to estimate NAFLD risk.ResultsWe identified four major nutrient patterns. The first nutrient pattern was high in consumption of lactose, animal protein, vitamin D, riboflavin, pantothenic acid, vitamin B12, calcium, phosphorus, zinc, and potassium. The second nutrient pattern included fiber, plant protein, vitamin A, thiamine, niacin, copper, and selenium, while the third featured plant protein, zinc, copper, magnesium, manganese, chromium, and selenium. The fourth was characterized by fructose, vitamin A, pyridoxine, vitamin C, and potassium. After adjusting for confounders, individuals in the highest tertile of NP4 had lower odds of NAFLD (OR: 0.56, 95% CI: 0.32–0.98, P_trend = 0.042); compared to those who were in the lowest tertile.ConclusionHigh compliance to a nutrient pattern characterized by fructose, vitamin C, vitamin A, pyridoxine, and potassium mainly supplied from fruits, vegetables, and nuts is inversely proportional to the odds of NAFLD. Also our findings indicate a very high fiber intake, a relatively optimal dietary fat profile, and a pretty low sugar intake for cases and controls, unseen in western countries. However, these initial findings need to be approved with further studies to confirm the relationship between nutrient patterns and NAFLD.

Multidimensional associations between nutrient intake and healthy ageing in humans

BackgroundLittle is known about how normal variation in dietary patterns in humans affects the ageing process. To date, most analyses of the problem have used a unidimensional paradigm, being concerned with the effects of a single nutrient on a single outcome. Perhaps then, our ability to understand the problem has been complicated by the fact that both nutrition and the physiology of ageing are highly complex and multidimensional, involving a high number of functional interactions. Here we apply the multidimensional geometric framework for nutrition to data on biological ageing from 1560 older adults followed over four years to assess on a large-scale how nutrient intake associates with the ageing process.ResultsAgeing and age-related loss of homeostasis (physiological dysregulation) were quantified via the integration of blood biomarkers. The effects of diet were modelled using the geometric framework for nutrition, applied to macronutrients and 19 micronutrients/nutrient subclasses. We observed four broad patterns: (1) The optimal level of nutrient intake was dependent on the ageing metric used. Elevated protein intake improved/depressed some ageing parameters, whereas elevated carbohydrate levels improved/depressed others; (2) There were non-linearities where intermediate levels of nutrients performed well for many outcomes (i.e. arguing against a simple more/less is better perspective); (3) There is broad tolerance for nutrient intake patterns that don’t deviate too much from norms (‘homeostatic plateaus’). (4) Optimal levels of one nutrient often depend on levels of another (e.g. vitamin E and vitamin C). Simpler linear/univariate analytical approaches are insufficient to capture such associations. We present an interactive tool to explore the results in the high-dimensional nutritional space.ConclusionUsing multidimensional modelling techniques to test the effects of nutrient intake on physiological dysregulation in an aged population, we identified key patterns of specific nutrients associated with minimal biological ageing. Our approach presents a roadmap for future studies to explore the full complexity of the nutrition-ageing landscape.

Relationship between dietary nutrients and hypertension, overweight and obesity in pupil grades 3 to 6 in Wuhan City

To explore the relationship between children's dietary nutrient intakes and hypertension, overweight and obesity. In April 2016, 1033 children aged 9 to 12 from grades 3 to 6 in two primary schools in Hongshan District of Wuhan City were selected by cluster sampling method, with an average age of(10.55±1.10) years, including 545 boys(52.8%) and 488 girls(47.2%), for physical examination and dietary survey. Physical examination included height, weight, blood pressure, etc. Dietary survey was conducted using a 3-day 24 h retrospective method. Principal component factor analysis was used to explore the dietary nutrient patterns of children, and logistic regression was used to analyze the effects of different dietary nutrient patterns on children's hypertension, overweight and obesity. In terms of M(P25, P75), compared with normal blood pressure group, hypertensive group had higher energy intake(1761.97(1617.17, 1940.43)kcal vs.1730.95(1556.06, 1905.71)kcal, P=0.011). Compared with normal weight group, overweight and obese group had higher carbohydrate(250.65(226.55, 281.29)g vs.244.41(220.04, 273.01)g, P=0.011), vitamin B_1(0.29(0.22, 0.36)mg vs.0.27(0.22, 0.34)mg, P=0.022), vitamin B_2(0.45(0.33, 0.60)mg vs.0.39(0.32, 0.51)mg, P=0.001), iron(12.64(11.06, 14.48)mg vs.12.39(10.57, 14.21)mg, P=0.033), zinc(5.11(4.00, 6.77)mg vs.4.60(3.87, 5.84)mg, P<0.001)intakes, lower calcium intake(185.52(136.92, 264.73)mg vs.207.39(141.25, 300.92)mg, P=0.007). Low cholesterol, low vitamin, high calcium pattern(OR=0.644, 95%CI 0.421-0.985) and Q2 of low protein, low fat and low cholesterol(OR=0.626, 95%CI 0.412-0.951) were protective factors for overweight and obesity. High carbohydrate may be a risk factor for overweight and obesity, while high calcium, low fat and low cholesterol may be protective factors for overweight and obesity.

Disentangling effects of upslope runoff and sediment on soil nutrients on the hilly slopes of the Loess Plateau, China

Upslope runoff and sediment critically influence soil erosion, while their impact on the subsequent downslope nutrient distribution has not been examined, consequently hindering the exact assessment of the effects of erosion on soil biogeochemical cycles. Herein we selected two groups of wide and narrow slopes on the middle Loess Plateau, with each slope group including slopes with and without upslope runoff and sediment. For each slope, we collected soil samples from topsoil along the slope at different distances from the upper slope to the lower slope, and collected samples from depths of 0–60 cm at the upper, middle and lower positions of the slope. The contents of soil organic matter and nutrients were analysed. The purpose of this study was to disentangle the effects of upslope runoff and sediment on spatial distribution of soil nutrients on slopes of different widths. We showed that compared with slopes without upslope runoff and sediment, upslope runoff and sediment increased the content of most nutrients in topsoil on the wide slope, but had a contrasting effect on the narrow slope. Upslope runoff and sediment reduced the random spatial heterogeneity of soil nutrients on both the wide and narrow slopes, with greater effects observed on the narrow slope. The influence of upslope runoff and sediment on the profile distribution of soil nutrients varied with slope position and slope width, and was nutrient type-dependent. These results indicated that slope topographical conditions interact with upslope runoff and sediment in influencing vertical and horizontal patterns of soil nutrients on slopes.

Association of dietary and nutrient patterns with systemic inflammation in community dwelling adults

PurposeEvidence investigating associations between dietary and nutrient patterns and inflammatory biomarkers is inconsistent and scarce. Therefore, we aimed to determine the association of dietary and nutrient patterns with inflammation.MethodsOverall, 1,792 participants from the North-West Adelaide Health Study were included in this cross-sectional study. We derived dietary and nutrient patterns from food frequency questionnaire data using principal component analysis. Multivariable ordinal logistic regression determined the association between dietary and nutrient patterns and the grade of inflammation (normal, moderate, and severe) based on C-reactive protein (CRP) values. Subgroup analyses were stratified by gender, obesity and metabolic health status.ResultsIn the fully adjusted model, a plant-sourced nutrient pattern (NP) was strongly associated with a lower grade of inflammation in men (ORQ5vsQ1 = 0.59, 95% CI: 0.38–0.93, p-trend = 0.08), obesity (ORQ5vsQ1 = 0.43; 95% CI: 0.24–0.77, p-trend = 0.03) and metabolically unhealthy obesity (ORQ5vsQ1 = 0.24; 95% CI: 0.11–0.52, p-trend = 0.01). A mixed NP was positively associated with higher grade of inflammation (ORQ5vsQ1 = 1.35; 95% CI: 0.99–1.84, p-trend = 0.03) in all participants. A prudent dietary pattern was inversely associated with a lower grade of inflammation (ORQ5vsQ1 = 0.72, 95% CI: 0.52–1.01, p-trend = 0.14). In contrast, a western dietary pattern and animal-sourced NP were associated with a higher grade of inflammation in the all participants although BMI attenuated the magnitude of association (ORQ5vsQ1 = 0.83, 95% CI: 0.55–1.25; and ORQ5vsQ1 = 0.94, 95% CI: 0.63–1.39, respectively) in the fully adjusted model.ConclusionA plant-sourced NP was independently associated with lower inflammation. The association was stronger in men, and those classified as obese and metabolically unhealthy obese. Increasing consumption of plant-based foods may mitigate obesity-induced inflammation and its consequences.

Effects of elevated ozone on the uptake and allocation of macronutrients in poplar saplings above- and belowground

Ground-level ozone (O3) is a secondary air pollutant and affects the roots and soil processes of trees. Therefore, O3 can affect the uptake and allocation of nutrients in trees, which merits further clarification. A fumigation experiment with five O3 levels was conducted in 15 open top chambers for two poplar clones, and the concentrations of six macronutrients (N, P, K, S, Ca, Mg) in different organs and leaf positions were determined. Under all O3 levels, the concentration of mobile nutrients (N and P) was higher in upper leaves than in lower leaves, while the non-mobile nutrients (Ca and S) concentration was the opposite. Relative to charcoal filtered ambient air (CF), high O3 treatment (NF60) significantly increased the concentration of mobile nutrients K and Mg in upper leaves by 38 % and 33 %, in lower leaves by 142 % and 65 %, respectively, which suggested the effect of O3 on their concentrations was greater at the lower leaf position than at the upper leaf position. Elevated O3 significantly increased the macronutrient concentrations in most organs. The effects of O3 on nutrient concentrations were attributed using graphical vector analysis, suggested that the increase of nutrient concentration in the shoots was attributed to excessive nutrient stocks, while their increase in root was attributed to the “concentration” effect. Compared to CF, NF60 also reduced the root-to-shoot ratio of N, P, S, K, Ca and Mg stocks by 34 %, 39 %, 37 %, 64 %, 46 % and 42 %, respectively, indicating the allocation of increased nutrients to shoots in response to O3 stress. Changes in the allocation pattern of nutrients in different leaf positions and organs of poplar were primarily in response to O3 stress since these nutrients play important roles in some physiological processes. These results will help improve the plantation nutrient utilization by optimizing fertilizer management regimes under O3 pollution.

Association Between Nutrient Patterns and Fatty Liver Index: Baseline Survey of the Japan Multi-Institutional Collaborative Cohort Study in Tokushima, Japan.

BackgroundsThe fatty liver index (FLI) is a good non-invasive approach for fatty liver disease diagnosis. The objective of this study was to examine the associations of nutrient patterns with non-alcoholic fatty liver disease (NAFLD) in a Japanese population.MethodsA total of 1,588 subjects (789 men and 799 women) aged 35–69 years were recruited in the baseline survey of the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study in Tokushima Prefecture. Factor analysis was applied to energy-adjusted intake of 21 nutrients, and nutrient patterns were extracted. Multiple logistic regression analysis was used to analyze the relationships between nutrient patterns and the high FLI category (≥60).ResultsFour nutrient patterns were extracted: Factor 1, vitamins, dietary fiber, iron and potassium pattern; Factor 2, fats and fat-soluble vitamins pattern; Factor 3, saturated fat, calcium, vitamin B2 and low carbohydrate pattern; and Factor 4, sodium, protein and vitamin D pattern. After adjustment for sex, age, and other potential confounding variables, higher Factor 1 scores were significantly associated with lower odds ratios of NAFLD (P for trend <0.05). Analysis of each component of FLI showed that there were significant inverse associations between Factor 1 scores and high body mass index and large waist circumference.ConclusionThe present findings suggest that a nutrient pattern rich in vitamins, fiber, iron, and potassium was associated with lower prevalence of NAFLD in a Japanese population. Obesity and abdominal obesity may be intermediate variables for the association between this nutrient pattern and NAFLD.

Community assembly and co-occurrence network complexity of pelagic ciliates in response to environmental heterogeneity affected by sea ice melting in the Ross Sea, Antarctica.

In the Southern Ocean, the living environment of organisms has changed due to the dramatic increase in melting sea ice and the loss of glaciers, which have consequently caused substantial changes in biodiversity. Samples of pelagic ciliates from 13 sites were collected as bioindicators to demonstrate the relationship between spatial distribution patterns and environmental heterogeneity affected by sea ice melting and to reveal the community assembly mechanisms in the Ross Sea. Univariate analyses and multivariate analyses were effective tools demonstrating clear spatial patterns and providing a sufficient explanation to interpret strong correlations between pelagic ciliate communities and environmental variations, especially the distribution pattern of nutrients and Chl a. Moreover, environmental heterogeneity might affect the co-occurrence network complexity of ciliate communities. Furthermore, our results also indicated that stochastic processes play a significant role in the community assembly of pelagic ciliates. This study examined the controlling mechanisms of environmental heterogeneity affected by sea ice melting on pelagic ciliate communities and provided explanations for the community assembly of pelagic ciliates in polar marine ecosystems.

Fractionation of organic C, nutrients, metals and bacteria in peat porewater and ice after freezing and thawing.

To better understand freezing - thawing cycles operating in peat soils of permafrost landscapes, we experimentally modelled bi-directional freezing and thawing of peat collected from a discontinuous permafrost zone in western Siberia. We measured translocation of microorganisms and changes in porewater chemistry (pH, UV absorbance, dissolved organic carbon (DOC), and major and trace element concentrations) after thawing and two-way freezing of the three sections of 90-cm-long peat core. We demonstrate that bi-directional freezing and thawing of a peat core is capable of strongly modifying the vertical pattern of bacteria, DOC, nutrients, and trace element concentrations. Sizeable enrichment (a factor of 2 to 5) of DOC, macro- (P, K, Ca) and micro-nutrients (Ni, Mn, Co, Rb, B), and some low-mobile trace elements in several horizons of ice and peat porewater after freeze/thaw experiment may stem from physical disintegration of peat particles, leaching of peat constituents, and opening of isolated (non-connected) pores during freezing front migration. However, due to the appearance of multiple maxima of element concentration after a freeze-thaw event, the use of peat ice chemical composition as environmental archive for paleo-reconstructions is unwarranted.

Disentangling Forest Dynamics for Litter Biomass Production in a Biosphere Reserve in Central India

Investments in energy sources are scaling up across India to improve climate security and further mitigate future climate change. Forest biomass and litterfall pattern play an important role in the sustainable management of forests and the efficient utilization of resources. This study investigates the seasonal litterfall biomass pattern for five consecutive years (2015–2019) in four different vegetation types in Central India (AABR) using the litter traps method on the forest floor. An ANOVA model was adopted to infer the effects of forest types, litter types, and seasonality on litterfall production. The estimated mean litterfall of the dry tropical forest in Central India was recorded as 4.19 ± 0.305 Mg/ha/y where teak plantations contribute higher values compared to other studied vegetation types. A positive correlation was observed between the litterfall and nutrient storage with soil-adjusted vegetation index and other vegetation indices. The findings of litterfall pattern and turnover rate of nutrients indicated that the vegetation types of AABR have huge potential for carbon sequestration and help to achieve the Conference of the Parties (COP-26) goal of reducing regional and/or global climate change.

Age Dependent Partitioning Patterns of Essential Nutrients Induced by Copper Feeding Status in Leaves and Stems of Poplar.

Copper (Cu) is an essential micronutrient, and its deficiency can cause plants to undergo metabolic changes at several levels of organization. It has been shown that leaf age can play a role in nutrient partitioning along the shoot axis of poplar. In this study, we investigated the effect of Cu deficiency on the altered partitioning of essential macro and micronutrients in leaves and stems of different age. Cu deficiency was associated with higher concentrations of calcium, magnesium, sulfur, iron, zinc, manganese, and molybdenum in leaves and relatively higher concentrations of calcium, phosphorus, iron, and zinc in stems. Leaf and stem age had significant effects on nutrient partitioning. Principal component analyses revealed patterns that point to inverse influences in leaves and stems on nutrient partitioning. Specifically, these analyses revealed that nutrient partitioning in leaves was influenced by Cu feeding status more than developmental stage, whereas nutrient partitioning in stems was influenced by developmental stage more than Cu feeding status. These results suggest that Cu deficiency and developmental stage can significantly influence the partitioning and homeostasis of macro and micronutrients in poplar organs.

Moss C, N, P and K stoichiometry and their relationships are related to soil nutrients and environment in a temperate desert of central Asia

Abstract Previous studies showed that moss stoichiometric characteristics were influenced by moss patch size, shrubs and the environment in the desert. The study of moss stoichiometry in different spatial distribution areas is crucial for an understanding of growth and adaptation strategy of the mosses. In this study, the dominant moss (Syntrichia caninervis) of biological soil crusts and soil under the moss patches in the Gurbantunggut Desert were selected to determine their stoichiometry in different dunes and sites. Moss stoichiometry and soil available nutrients were significantly influenced by different distribution areas except for moss C. The Nabovegroundvs. Nbelowground, Pabovegroundvs. Pbelowground and Kabovegroundvs. Kbelowground scaling exponents of moss were 0.251, 0.389 and 0.442, respectively. The N vs. P scaling exponents were 0.71, 0.84 in above- and below-ground parts of moss. Moss stoichiometry was disproportionately distributed in the above-ground and below-ground parts. Moreover, moss N, P and K elements were influenced by mean annual precipitation (MAP), longitude and soil nutrients. The nutrients of moss were affected by spatial distribution, mean annual temperature (MAT), MAP and soil nutrients. The growth of moss was limited by N element in the temperate desert. This study provides the stoichiometric characteristics of C, N, P and K of moss at different spatial scales and explores their relationships with environmental variables, which can help understand nutrient patterns and utilization strategy of N, P and K, and their potential responses to global climate changes in desert.

Dietary and Nutrient Patterns and Brain MRI Biomarkers in Dementia-Free Adults.

Cognitive impairment is a rapidly growing public health problem. As there is no curative treatment for dementia, the proactive management of modifiable risk factors and the identification of early biomarkers indicative of the cognitive decline are of great importance. Although nutrition is one of the most extensively studied lifestyle factor in relation to cognitive health, its association with brain magnetic resonance imaging (MRI) biomarkers is not well established. In the present work, we review available studies relating dietary or nutrient patterns with brain MRI biomarkers in dementia-free adults. Greater adherence to the Mediterranean diet has been associated with the preservation of structural connectivity and less brain atrophy in adults without dementia. In addition, specific nutrient patterns, characterized by a high intake of antioxidant vitamins, polyphenols and unsaturated fatty acids, have been related to larger brain volume. Although the results are encouraging regarding the role of dietary and nutrient patterns on imaging biomarkers, more well-designed observational longitudinal studies and clinical trials are needed in order to confirm potentially causal relationships and better understand underlying mechanisms.

Grazing effects on shrub-induced resource islands and herbaceous vegetation heterogeneity in sagebrush-steppe communities

Spatial heterogeneity in plant communities promotes coexistence and diversity by providing a variety of niches for different species. In shrub-steppe communities, shrubs create distinct microsites under their canopies (canopy microsites) compared to areas between their canopies (interspace microsites). This creates spatial heterogeneity in soil nutrient availability and herbaceous vegetation. Grazing can influence spatial heterogeneity, but the effect of grazing on shrub-induced spatial heterogeneity is largely unknown. We investigated the long-term (+80 yrs.) effects of moderate grazing by cattle on sagebrush ( Artemisia )-induced spatial heterogeneity in soil nutrients, herbaceous vegetation, and ground cover in sagebrush-bunchgrass steppe communities at eight sites in southeastern Oregon. Each site consisted of a long-term grazing exclosure and an adjacent grazed area. Almost all measured herbaceous vegetation (cover, density, diversity, and evenness) and ground cover variables differed between canopy and interspace microsites. Grazing did not influence the effects of microsites on most measured herbaceous vegetation characteristics and ground cover variables. Available soil nutrients were not influenced by grazing, but the majority differed between microsites. The limited effect of moderate grazing on shrub-induced spatial heterogeneity provides evidence that sagebrush exerts a strong influence on patterns of soil nutrients and herbaceous vegetation in sagebrush-bunchgrass communities. These results also demonstrate that moderate grazing by cattle can be compatible with maintaining spatial heterogeneity within shrub-steppe communities. In these ecosystems, maintaining and restoring shrubs is critical to promoting spatial heterogeneity, thereby encouraging coexistence and diversity.

Individualised PatieNt Care and Treatment FOR MatErnal Diabetes (INFORMED); Intensive Profiling of Dysglycemia in Maternal Diabetes - A Longitudinal Study Protocol

ObjectivesWomen with pre-existing diabetes struggle to control glucose levels during pregnancy and are at high risk of pregnancy complications, compared to women without diabetes. Management of postprandial and nocturnal glucose levels are key targets to minimise risk of adverse events during pregnancy. This trial aims to investigate the effect of distinct nutrient patterns on 24-hr glucose levels in pregnant women with pre-existing diabetes to inform future strategies.MethodsThis single-blind randomised controlled trial will recruit 76 pregnant women with pre-existing Type 1 or Type 2 diabetes at ∼10–12 weeks’ gestation from the Diabetes in Pregnancy Clinics at Leeds Teaching Hospitals NHS Trust (LTHT). At three timepoints (∼10–12, ∼18–20, and ∼28–34 weeks of gestation), participants will consent to share their medical records (including general health, 7-day continuous glucose data (CGM), and obstetric information), blood and urine samples for metabolite analysis, and complete online questionnaires to assess 3-day diet and general lifestyle. Genetic analysis will also take place. Additionally, a carbohydrate challenge will take place at ∼18–20, and ∼28–34 weeks' gestation while CGM is being measured. Multiple variable analyses and clustering will be used to identify patterns and associations of interest.ResultsEthical approval has been granted by the Tyne and Wear South Research Ethics Committee (21/NE/0196). The results will be presented at conferences and disseminated in peer-reviewed journals.ConclusionsFindings of this study will inform the design of a feasibility trial and future interventions. Ultimately, we hope the generated data can be used to support care in women with pre-existing diabetes during pregnancy, and improve maternal and infant outcomes.Funding SourcesUniversity of Leeds - School of Food Science and Nutrition and Wellcome Trust.

Diverse Meals As Basis of a Healthy Total Diet for Children in Germany

ObjectivesA balanced diet is especially important for children and adolescents to meet their nutritional needs. The aim of this study was to use the Optimized Mixed Diet (OMD), a recognized nutritional recommendation for children and adolescents in Germany, to characterize the different meals in terms of their food and nutrient profiles and to determine how these meals complement each other.MethodsThe OMD is based on a 7-day meal plan with the usual 5 daily meals in Germany, i.e., 3 main meals (breakfast, lunch and dinner) and 2 snacks (mid-morning and afternoon). Foods as well as energy and nutrients were specifically identified for each of the different meals, then averaged over the 7 days, and finally summed for the entire day. Only the energy content of the meals was fixed; all other components resulted from the typical meal pattern. The total daily nutrient intake could then be compared with German nutrient reference values to verify the adequacy of the total diet. Finally, proven meal-based dietary guidelines were derived from the food and nutrient patterns of the optimized meals.ResultsAlthough the hot meal (lunch) provides only 25% of the daily energy intake, it is relatively rich (> 25% of the daily intake) in most vitamins and minerals, which distinguishes it from the other meals. The cold meals (breakfast, dinner) are especially rich in calcium and vitamin B2, due to the preferential use of dairy/milk in these meals. The two optimized snacks have a surprisingly balanced nutrient profile, each contributing nearly 12% of the daily energy intake. This is achieved by enhancing these meals with cereals, raw vegetables and fruits, while allowing foods with low nutrient density, such as sweets and pastries.ConclusionsThis analysis provides comprehensible guidelines for all meals of the day in a proven national guideline for children and adolescents. Meal-based guidelines could help children become accustomed to a healthy, varied diet and facilitate flexible coordination of family meals, as well as provide guidance for daycare and school meals. Variation between and within meals also opens up the possibility of setting different stimulus patterns at different levels (neurocognition, emotion, digestion), which can not only lead to more enjoyment of food but also open up long-term health benefits.Funding SourcesNone.

Hydrological and Biogeochemical Patterns in the Sicily Channel: New Insights From the Last Decade (2010-2020)

The hydrological and biogeochemical time series from 2010 to 2020 have highlighted specific relationships and trends in oceanographic processes and nutrient patterns in the Sicily Channel. Specifically, temperature and salinity time series in the intermediate waters showed a sharp annual increase of about 0.06°C and 0.09 within the period 2010-2020, at rates that are about 50% higher than what observed within the previous decade. Similar trends were also present in deep waters, although with lower variations of both temperature and salinity. The time series in the intermediate water, also highlighted the presence of quasi cyclic fluctuations that can be associated with the alternation of the circulation modes (cyclonic and anticyclonic) of the Northern Ionian Gyre. Moreover, an opposite trend emerged by comparing the nutrients and salinity time series in intermediate waters, while similar patterns has been evidenced between nutrients and chlorophyll-a concentration. This latter finding is not consistently present in the Mediterranean area, suggesting the need of further studies on a wider scale.

The effects of stand age on leaf N:P cannot be neglected: A global synthesis

The effects of abiotic and biotic factors on plant stoichiometry have been widely reported at the global scale. However, stand age has not always been considered and its effect on stoichiometry showed large uncertainties at the global scale. In this study, we examined the role of stand age in leaf N:P, and observed the general pattern of leaf N:P for global planted forests across age gradients through the compilation and analysis of published data from individual studies. We found that stand age, together with life form and climatic variables, strongly affected leaf N:P. This result indicates that stand age is an indispensable underlying mechanism on stoichiometry. Leaf N:P increased with stand age for all planted forests pooled together, revealing the existence of the general pattern in leaf stoichiometry for planted forests across age gradients. Leaf N:P exhibited no trend in evergreen trees, but an increasing trend was obtained in deciduous trees along age sequences. Meanwhile, leaf N:P rose with stand age for planted forests in humid subtropical regions, but it did not vary in dry temperate regions. Our results reveal that the effects of age on tree stoichiometry cannot be neglected. These age-related patterns of stoichiometry indicated that global planted forests changed from N limitation to P limitation with increasing stand age, particularly for deciduous planted forests and in planted forests in humid regions. The study highlights the importance of considering stand age when exploring nutrient patterns in planted forests, which contributes to improving the plant stoichiometry theory and offers guidance for the nutrient management of planted forests at regional and global scales.